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Getting Started with Microsoft R


Overview/Description
Target Audience
Prerequisites
Expected Duration
Lesson Objectives
Course Number
Expertise Level



Overview/Description
Microsoft R is a data analytics solution that can be deployed on a wide range of platforms. This course introduces Microsoft R and its products, including installation, components, and compatibility with other network infrastructures.

Target Audience
Project managers, business managers, IT, Data scientists, analysts, and statisticians

Prerequisites
None

Expected Duration (hours)
1.3

Lesson Objectives

Getting Started with Microsoft R

  • start the course
  • describe the R programming language, environment, and open-source software
  • recognize what Microsoft R is
  • list Microsoft R products and their features
  • describe important features of Microsoft R client
  • install Microsoft R client
  • list important integrated development environments for R
  • identify important features of Microsoft R interface and recognize how to navigate in Microsoft R
  • identify important features of RStudio interface and recognize how to navigate in Rstudio
  • identify important features of Visual Studio for R interface and recognize how to navigate in Visual Studio for R
  • list key features of Microsoft R
  • identify important features of Microsoft Machine Learning Server
  • identify important components of Microsoft Machine Learning Server
  • describe what operationalize analytics is and its applications
  • identify important features of Microsoft Machine Learning Server for operationalizing analytics
  • list supported platforms for Microsoft Machine Learning Server
  • identify important issues with provision of Microsoft Machine Learning Server in the cloud
  • recognize what compute context is and its use cases
  • identify important components of Microsoft R server
  • Course Number:
    df_abdr_a01_it_enus

    Expertise Level
    Intermediate